Medical coding is the task of assigning medical codes to clinical free-t...
Although supervised deep learning has revolutionized speech and audio
pr...
Unsupervised representation learning for speech processing has matured
g...
Stochastic latent variable models (LVMs) achieve state-of-the-art perfor...
Spoken language understanding (SLU) tasks are usually solved by first
tr...
The two most common paradigms for end-to-end speech recognition are
conn...
Recent advances in self-supervised learning through contrastive training...
We address a challenging and practical task of labeling questions in spe...
End-to-end automatic speech recognition (ASR) commonly transcribes audio...
Nontrivial connectivity has allowed the training of very deep networks b...